Gaël Chételat
- Psychiatry and Mental health top 0.05%
- Cognitive Neuroscience top 0.1%
- Physiology top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Neurology top 0.1%
- Co-authors
- Francis EustacheBéatrice DesgrangesVincent de La SayetteBrigitte LandeauJean‐Claude BaronRenaud La JoieFlorence MézengeAudrey Perrotin
- Topics
- Dementia and Cognitive Impairment Research (137 papers)Alzheimer's disease research and treatments (96 papers)Functional Brain Connectivity Studies (80 papers)
- Journals
- NeuronJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Gaël Chételat
231 papers receiving 15.9k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Psychiatry and Mental health 7.8k
- Cognitive Neuroscience 7.1k
- Physiology 6.7k
- Radiology, Nuclear Medicine and Imaging 3.1k
- Neurology 2.4k
Countries citing papers authored by Gaël Chételat
This map shows the geographic impact of Gaël Chételat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gaël Chételat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaël Chételat more than expected).
Fields of papers citing papers by Gaël Chételat
This network shows the impact of papers produced by Gaël Chételat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gaël Chételat. The network helps show where Gaël Chételat may publish in the future.
Co-authorship network of co-authors of Gaël Chételat
This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Chételat. A scholar is included among the top collaborators of Gaël Chételat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaël Chételat. Gaël Chételat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 49 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | Alzheimer diseasebreakdown → | 1439 |
| 16 | 43 | |
| 17 | 30 | |
| 18 | 195 | |
| 19 | 8 | |
| 20 | 298 |
About Gaël Chételat
Gaël Chételat is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Physiology, having authored 243 papers that have together received 16.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (137 papers), Alzheimer's disease research and treatments (96 papers) and Functional Brain Connectivity Studies (80 papers). The work is most often cited by research in Psychiatry and Mental health (7.8k citations), Cognitive Neuroscience (7.1k citations) and Neurology (2.4k citations). Gaël Chételat has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Francis Eustache, Béatrice Desgranges, Vincent de La Sayette, Brigitte Landeau, Jean‐Claude Baron, Renaud La Joie, Florence Mézenge, Audrey Perrotin, Victor L. Villemagne and Ronald C. Petersen. Their work appears in journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.